FR3098332B1 - Method and device for determining the amplitude of a movement performed by a member of an articulated body - Google Patents
Method and device for determining the amplitude of a movement performed by a member of an articulated body Download PDFInfo
- Publication number
- FR3098332B1 FR3098332B1 FR1907560A FR1907560A FR3098332B1 FR 3098332 B1 FR3098332 B1 FR 3098332B1 FR 1907560 A FR1907560 A FR 1907560A FR 1907560 A FR1907560 A FR 1907560A FR 3098332 B1 FR3098332 B1 FR 3098332B1
- Authority
- FR
- France
- Prior art keywords
- model
- articulated body
- movement
- limb
- amplitude
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/246—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
- G06T7/251—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments involving models
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T19/00—Manipulating 3D models or images for computer graphics
- G06T19/20—Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/50—Depth or shape recovery
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
- G06T7/75—Determining position or orientation of objects or cameras using feature-based methods involving models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10028—Range image; Depth image; 3D point clouds
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30181—Earth observation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2219/00—Indexing scheme for manipulating 3D models or images for computer graphics
- G06T2219/20—Indexing scheme for editing of 3D models
- G06T2219/2004—Aligning objects, relative positioning of parts
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Computer Graphics (AREA)
- Medical Informatics (AREA)
- Computing Systems (AREA)
- Evolutionary Computation (AREA)
- Mathematical Physics (AREA)
- Data Mining & Analysis (AREA)
- Artificial Intelligence (AREA)
- Geometry (AREA)
- Architecture (AREA)
- Computer Hardware Design (AREA)
- Multimedia (AREA)
- Length Measuring Devices By Optical Means (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Length Measuring Devices With Unspecified Measuring Means (AREA)
Abstract
La présente invention vise un procédé de détermination de l’amplitude d’un mouvement effectué par un membre d’un corps articulé. Ledit procédé comprend : une obtention (E12) d’un segment représentatif du positionnement du membre dans un référentiel donné à l’issue dudit mouvement, une génération (E16) d’un modèle du membre en trois dimensions, positionné dans ledit référentiel à l’aide du segment obtenu, une obtention (E14) d’un nuage de points en trois dimensions représentant le membre dans ledit référentiel à l’issue dudit mouvement, à partir d’une information de profondeur fournie par un capteur, ladite information de profondeur définissant une scène en trois dimensions comprenant au moins une partie du corps articulé incluant ledit membre, un repositionnement (E17) du modèle du membre de façon à minimiser un critère d’erreur prédéterminé entre le nuage de points obtenu et ledit modèle, et une détermination (E18) de l’amplitude du mouvement, à partir du nouveau positionnement du modèle du membre. Figure pour l’abrégé : figure 2The present invention relates to a method for determining the amplitude of a movement performed by a member of an articulated body. Said method comprises: obtaining (E12) a segment representative of the positioning of the member in a given frame of reference at the end of said movement, generation (E16) of a model of the member in three dimensions, positioned in said frame of reference at the using the segment obtained, obtaining (E14) a cloud of three-dimensional points representing the member in said frame of reference at the end of said movement, from depth information supplied by a sensor, said depth information defining a three-dimensional scene comprising at least a part of the articulated body including said limb, a repositioning (E17) of the model of the limb so as to minimize a predetermined error criterion between the cloud of points obtained and said model, and a determination (E18) range of motion, from the new limb model positioning. Figure for abstract: Figure 2
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
FR1907560A FR3098332B1 (en) | 2019-07-05 | 2019-07-05 | Method and device for determining the amplitude of a movement performed by a member of an articulated body |
EP20172366.5A EP3761267A1 (en) | 2019-07-05 | 2020-04-30 | Method and device for determining the amplitude of a movement performed by an articulated limb of a body |
US16/913,437 US11276184B2 (en) | 2019-07-05 | 2020-06-26 | Method and device for determining the amplitude of a movement performed by a member of an articulated body |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
FR1907560A FR3098332B1 (en) | 2019-07-05 | 2019-07-05 | Method and device for determining the amplitude of a movement performed by a member of an articulated body |
FR1907560 | 2019-07-05 |
Publications (2)
Publication Number | Publication Date |
---|---|
FR3098332A1 FR3098332A1 (en) | 2021-01-08 |
FR3098332B1 true FR3098332B1 (en) | 2022-01-07 |
Family
ID=68138502
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
FR1907560A Active FR3098332B1 (en) | 2019-07-05 | 2019-07-05 | Method and device for determining the amplitude of a movement performed by a member of an articulated body |
Country Status (3)
Country | Link |
---|---|
US (1) | US11276184B2 (en) |
EP (1) | EP3761267A1 (en) |
FR (1) | FR3098332B1 (en) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20210319619A1 (en) * | 2020-04-08 | 2021-10-14 | The Boeing Company | Method for Ergonomic Scoring From Webcam |
KR102594249B1 (en) * | 2020-11-18 | 2023-10-26 | 한국전자통신연구원 | Method and apparatus for Virtual training based on tangible interaction |
Family Cites Families (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP6181373B2 (en) * | 2013-01-18 | 2017-08-16 | 東芝メディカルシステムズ株式会社 | Medical information processing apparatus and program |
WO2017187641A1 (en) * | 2016-04-28 | 2017-11-02 | 富士通株式会社 | Skeleton estimation device, skeleton estimation method, and skeleton estimation program |
US10783656B2 (en) * | 2018-05-18 | 2020-09-22 | Zebra Technologies Corporation | System and method of determining a location for placement of a package |
CN109407824B (en) * | 2018-08-30 | 2020-11-06 | 百度在线网络技术(北京)有限公司 | Method and device for synchronous motion of human body model |
CN110942479B (en) * | 2018-09-25 | 2023-06-02 | Oppo广东移动通信有限公司 | Virtual object control method, storage medium and electronic device |
JP2021508027A (en) * | 2018-11-16 | 2021-02-25 | ベイジン ディディ インフィニティ テクノロジー アンド ディベロップメント カンパニー リミティッド | Systems and methods for positioning vehicles under poor lighting conditions |
-
2019
- 2019-07-05 FR FR1907560A patent/FR3098332B1/en active Active
-
2020
- 2020-04-30 EP EP20172366.5A patent/EP3761267A1/en not_active Withdrawn
- 2020-06-26 US US16/913,437 patent/US11276184B2/en active Active
Also Published As
Publication number | Publication date |
---|---|
FR3098332A1 (en) | 2021-01-08 |
US20210004968A1 (en) | 2021-01-07 |
US11276184B2 (en) | 2022-03-15 |
EP3761267A1 (en) | 2021-01-06 |
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Legal Events
Date | Code | Title | Description |
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PLFP | Fee payment |
Year of fee payment: 2 |
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PLSC | Publication of the preliminary search report |
Effective date: 20210108 |
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PLFP | Fee payment |
Year of fee payment: 3 |
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PLFP | Fee payment |
Year of fee payment: 4 |
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PLFP | Fee payment |
Year of fee payment: 5 |